Attribute Data Types

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V3IO Frames currently supports item attributes (DataFrame columns) of the following pandas DataFrame (NumPy) data types. For a description of the DataFrame types, see the pandas and NumPy documentation. For a general reference of the attribute data types that are supported in the platform, see the Attribute Data Types Reference.

The platform implicitly converts between pandas DataFrame column data types and platform table-schema attribute data types, and converts integer and short values (int<n>) to long values (int64 / "long") and floating-point values (float<n>) to double-precision values (float64 / "double"). The “Schema of Data Type” column in the following table indicates the matching platform attribute data type for each pandas data type.
pandas (NumPy) Data Type Schema Data Type
bool "boolean"
category "string"
float16 | float32 | float64 "double"
int8 | int16 | int32 | int64 "long"
object (string) "string"
datetime64 "timestamp"

See Also